{
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"
    },
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2lmOOOYYf/ehHTJo0iVNPPZXk5GQHKhYRcY7CiwBQUFDA5MmTFV66gNraWkpLS/nwww955513ePvtt/H7/ZSWljZ4XXR0NIMHD+aMM87gJz/5CWeffTZHHXUUcXFxDlUuItI5FF4E2B9epkyZwu7du7nssst44YUXiI6OdrosAcrLy1m1ahWffPIJb731Fh9++CG7du1q8rqBAwdy8sknc8YZZ3Deeedx5plnOlCtiEjHU3gRAAoLC5k8ebLCSxe3e/du1qxZw0cffURBQQGFhYVs2rSJ+vr6Bq9LSEjg9ttvZ9asWQwePNihakVEOobCiwD7w8uUKVMoKyvj0ksvZf78+QovIWDbtm0sW7aMxYsX88UXX/Dtt9+yb98++/m0tDSys7M54YQTHKxSRKR96dKeAtDgzBXTNHWtlxAxZMgQMjIyeP7551m8eDEvvfQSP//5z+2r9i5dupQLL7yQefPm6TMVkbCh8CISJo444gimTp3KX//6V5599llGjx4NQHFxMddffz3XXnsta9ascbhKEZHDp/AiNl03JDxERUVx1VVXkZubS0ZGBjExMdTU1PDss8+SkZHByy+/TG1trdNlioi0mcKLAPuDixVe1G0UHk488URycnK47777GDZsGAArV67kxhtv5Pe//z3ff/+9wxWKiLSNwos0oeASPvr160dWVhYLFizgnHPOITIykl27dvHAAw9wxRVX8O677zY5U0lEpKtTeBGgYcuLhJ+zzjqLF154gdtvv53+/fsDsHz5cmbOnMmjjz5KWVmZwxWKiLScwos0oW6j8HTkkUcye/Zsnn32WU4++WQANm3ahNfr5Re/+AVffPGFwxWKiLSMwotINxIdHc2FF15Ibm4u1113Hb1796a6uppXXnmFyy67jOeff77BdWJERLoihZdDsLpT8vLynC6lQzUesCvh7ZhjjuHhhx/mz3/+s31jx2+++Yb/+Z//ISsri3Xr1jlcoYjIgYVleMnLy7N3xi6Xi8zMzAbPW9Ozs7ObnZ6eng5gP+/3+5kxY0bnFN9FKMCEvz59+nDDDTeQm5vLBRdcQHR0NGVlZTz22GPMnDmTxYsX65RqEemSwi685OXlkZGRgcfjwTRN3G43gUAAgEAggMvlwu124/F48Hq9FBYWApCZmUlubi4AkyZNIjs7G6/Xi8/nIykpybH16Sxqeem+fvSjH/HMM89wzz33cMQRRwDw3nvvMWvWLP74xz+yfft2hysUEWko7MLLvHnzMAyDuXPnkp2dTX5+PnfddRew/z4vhmGwZMkS+/UpKSkAJCYmkpGRgWEYFBcX28ElKyvLkfXobNHR0TrbqBuLj4/H6/Xy/PPPk5qaCuy/b9If/vAHrr32Wj7++GOHKxQRCWKGmdzcXBOwHz6fr8H0goIC0zRN0zAM0+12N5nf7XabgJmbm9updTtl+/bt5ueff24uWLDAjI+PNwHzggsuMCsrK50uTRyyfv168ze/+Y3Zq1cv+3eUmJho3nfffebbb79tfv3112ZJSYnTZYpINxblXGzqGMOHD7f/7Xa77ZaTu+66C7fbTUpKCoWFhfj9fmbPnt1g3uTkZPx+PwUFBXaLTLirq6vj3XffZeHChfa1Purr6zXWoRsbMWIE9913H8cddxy/+93vCAQCFBcX87vf/Y64uDgSEhIYPHgwgwYNYujQoSQmJjJq1CiSkpJITExk0KBBTq+CiIQ5l2mGzwAHa5xKQUEBs2fPJj8/H9M0KSwsJDU1ldzcXGbMmEF6ejpFRUUUFRXZ81rBxe/3d4sxLsGqq6tZsWIFM2fOpKSkhPj4eM444wxGjx7N1VdfzXHHHed0ieKQL7/8kvvvv/+QZ9tFR0fTo0cPYmJiGDRoEImJiRx11FH2f5OTkxk8eDB9+/YlLi6OHj16dNIaiEg4CpuWl7y8PHucitVqYhgGABs3bgTgtNNOIy8vj/z8fAoKCux5k5OTSUtLIxAI2PN0p/EuMTExDBgwgIiI/UOgjj/+eG655Raqqqro2bOnw9WJk4477jhycnI4/fTT+eabb9iyZQtbt261/2tdE6ampoaamhoAdu7cyXfffdfgfSIiIhg2bBjDhw9nxIgRDBs2jGHDhnHkkUcyZMgQjjjiCLtFR0TkUMImvMybNw+AadOm2QN1rYCyfv16ABYuXIjX68Xj8dgBx+VyYRgGiYmJ5OTkAA27m7oL0zTtAbtxcXFMnDiR6Ohoh6uSrqB///7ccsstAOzZs4eKigoqKiooLS3F7/ezdu1a1q9fz9q1a1m3bh0bN26kurqa6upq+75J9fX1bNiwgQ0bNvD+++/b7x0VFUWfPn3o27cvffr04cgjjyQ5OZmRI0farTZJSUkMHTrUkXUXka4prLqNrK4faNhyEtyi4vF4mDt3rt2VBD+cGpydnU1xcTFz5851oHpnffLJJ0yZMoWtW7cyZcoU8vLy6N27t9NlSYipq6tj48aN+P1+1q1bh9/vJxAIUFJSws6dOyktLWXXrl3s2rWrxafkDxgwgFtuuYUrr7ySUaNGdfAaiEgoCKvw0hrNjXvpzj755BPOP/98tmzZwpQpU8jNzaVPnz5OlyVhoqamxg4wJSUlbN++ne+++45AIMCGDRsIBAKsW7fO7npqzvjx4/F6vVx++eWdWLmIdEVh023UWsHXepGGummelQ4UHR3NkUceyZFHHtlgel1dHVVVVezbt4/Kyko2bdrE6tWrCQQCrFmzhm+//ZZAIEBpaSlffPEF11xzDQsXLuT3v/89xx9/vD1OS0S6l24bXqQhXaBOnBAZGUlsbCyxsbHEx8czfPhwTj/9dPv5uro6VqxYwZw5c1i2bBnV1dX84x//4MMPP+TnP/851113nd0lLCLdhw5bxBZ8ewC1vkhXEBkZyaRJk3jxxRd55JFHGDt2LADff/89f/zjH7nssst44YUXdCdskW5G4UVEurz4+Hg8Hg+vvfYaN998M0OGDAFg5cqVXHPNNVxxxRUUFhZSV1fncKUi0hkUXgTQjRklNBxzzDHMmTOHBQsW8NOf/pTo6Ghqa2t59dVXmTFjBvfee699aQQRCV8KLwI0DS8KMNJVRUdHc84555CXl8ejjz7K6NGjAdi0aRP33Xcfl1xyCc8//zx79+51uFIR6SgKLyISkuLj47nxxht57bXXuOWWW0hISMA0TT755BN+8YtfcO2111JYWOh0mSLSARRepAm1ukgoGT16ND6fj+eee460tDQiIiKorq4mNzeXyy67jNmzZ7Np0yanyxSRdqTwIkDDbiNQgJHQEhMTg9vt5uWXX2bu3Ll2V9LmzZv53e9+x0UXXcT8+fPZs2ePw5WKSHtQeJEmFFwkVPXr148bbriBv//97/zqV79i4MCBAHz88cdkZmZy44038sEHHzhcpYgcLoUXselCdRIuxowZw0MPPcSCBQv42c9+hsvlory8nPnz53PxxRdz33338c0337B9+3Z27dpFRUUFVVVVOtVaJER023sbSUOff/45559/Phs2bOCnP/0pL7/8Mv3793e6LJHDtm/fPp5++mmeeOIJVq9ebU+PiYlh2LBh9O/fn/j4ePr160d8fDx9+/Zl8ODBxMXFERcXR58+fejduzdxcXH06tWLfv360atXL/r27UtsbKyDaybSfen2AALoOi8Svnr27MlNN93Eueeey8MPP8zLL79MWVkZ1dXVrF279pDzW7cw6N27Nz179qRPnz707NnTvq1BbGwscXFxDBgwgP79+zNgwAD70b9/f3tafHw8MTExTcaXiUjrKbyISLcwZswY/vKXv3Deeefx6KOPUlFRwb59+6iqqmry2Ldvnx3i6+rqKC8vp7y8vMXLioiIIDIyksjISPvfcXFxDBo0iEGDBtG/f3+GDBlC//79GTRoEPHx8QwePJh+/foxcOBAhg8fTt++fTvqTyES8hRexKaL1Em4c7lcXHTRRVx00UXU1NTYoaSiosL+d/CjpKSE0tJSysvLKSsrY/fu3ezevZvy8nL737t3726ynPr6eurr66mpqbGnlZeXt+iU7SOOOIKTTjqJiy66iAkTJjBu3Lh2/RuIhAOFFwE0WFe6n+joaOLj44mPjz/ka+vr66mqqqK6urrJwwo527ZtY+fOnZSUlLBjxw7736WlpWzZsoXa2tomj7q6uiaDhLds2cLixYv597//zZAhQ5g4cSJXXXUVp556aotqFekOFF5ERA4hIiKCXr160atXrza/R3l5Obt27WLXrl3s3LmTXbt2UVZWRklJCWVlZezYsYNt27axevVq1qxZQ3V1NZs3b2bBggUsWLCAo48+mssuu4xzzjmHMWPGkJCQ0I5rKBJaFF7Epm4jkY7Tt29f+vbty8iRIw/6Or/fz4cffsgbb7zBihUr+P777wFYs2YNs2fP5rHHHmPMmDFMnTqVn/zkJ5xxxhmdUb5Il6LwIoDONhLpKgzDwDAMLr30UoqLi8nPz+f111/n008/Zfv27ZSVlfHBBx/wwQcf0Lt3b84++2zcbjfnnXceI0eOpEePHk6vgkiH03VeBIAvv/ySqVOnsnbtWn7yk5+wcOFC9a+LdBFVVVWsWrWKt956i6VLl/LZZ59RUVHR4DWJiYlMmDCBn/3sZ/z4xz8mMTHRoWpFOp7CiwDw1Vdfcf7557N27VomTpzIwoUL7Uuri0jXUVJSwmeffca//vUvli5dypo1a6itrbWf79GjB4mJibjdbtxuNxMnTtTF9CTsKLwIsD+8TJ06lUAgoPAiEiK2bt3KihUrWLRoEe+99x5+v79Bt6/L5eKMM85g4sSJXHDBBRx77LG6craEBYUXAeDrr79m6tSp+P1+zj77bBYuXMigQYOcLktEWqC+vp5vv/2WgoICFi9eTEFBATt37mzwmoSEBE488UQmT55sn7GkSyRIqFJ4EUDhRSRc7Nu3j3Xr1rFgwQJef/11ioqKGoyPcblcDBo0iNGjRxMZGcno0aOZMGECJ5xwAoMHDyY+Pl6DfqXLU3gRoGF4Oeuss3j11VcVXkRCXFVVFW+99RZvvfUWy5cv57///e9BXz927FiOO+44xo8fz9FHH82oUaNITExkyJAhnVSxSMsovAgA33zzDVOnTqWoqIjU1FT+/ve/K7yIhJH169fz6aef8sorr/D+++9TV1dHSUkJ+/bta3KVX9h/BeJBgwYxcOBAxo8fz+mnn86pp57KuHHj6NWrFzExMQ6shch+Ci8CKLyIdCfWrQkCgQBffPEFX3/9NR9//DHFxcVs27aNkpKSZueLiIhg8ODBjB07lrFjx3LSSScxfvx4EhISSEhIoGfPnp28JtJd6SJ1AjS9SJ0yrUj4ioqKIioqijFjxjBmzBgAampq2LhxIxs2bODbb79l1apVfPvtt6xevZotW7YA+wcGb926la1bt/L2228DEB8fz8iRIxk5ciSnnHIKxx13HEcffTTHHHOMxs5Ih1F4ERERoqOjGTVqFKNGjeKss86ivr6eiooKSktL+e9//8tnn33Gl19+ycqVK9mxYwfl5eXU1tayc+dOdu7cyWeffcbrr79Oz5496d27N4mJiZx44omMHz+ek08+meTkZOLi4ujdu7fTqyphQOHlAKxWiNzcXGbMmOFwNZ1DLS8iYomIiCAuLo64uDhGjhzJlClTANixYwffffcda9asYdWqVXz99desW7eO9evXs2/fPvuxY8cOVq5cCezftiQlJXHssccyevRoO8yMGDGCoUOHOrmaEqLCLrwUFhaSmpoKQEFBASkpKfZz1s7Z5/ORlZXVZLrb7WbJkiVkZ2cD+2+QlpSU1FmlO0rXexCRlhg4cCBnnnkmZ555JldddRVlZWVs376d9evXs2rVKv773//y1Vdf8dVXX1FVVQXsPyDy+/34/X7efPNNIiMjGTJkCIMGDWLcuHGceOKJjBs3juOPP56hQ4cSFRV2uyZpZ2E1YDcvL4+MjAw7hFgCgQCGYUe4qRMAACAASURBVOB2u0lKSiInJ8cONpmZmZx11llkZGTg8/kA8Hq9TQJOuFu9ejUXXHABq1evZsKECbz22ms6PVJEWs00TWpqalizZg0ff/wxK1eu5NNPP6WkpITt27c3uXieJTIykj59+nDiiSdy6qmn8uMf/5iUlBSdOCDNM8NEQUGBCZgej6fJc4ZhmIZhmKZpmh6PxwxebZ/PZwKmYRj2cz6fr9Pq7ir8fr85evRoEzDPPPNMc8uWLU6XJCJhoqamxvT7/eby5cvNnJwc8xe/+IX5ox/9yOzVq5cJHPBx8cUXmxUVFU6XL11Q2IQXwzBMt9vdZHpubq4JmAUFBQd9ndvtNgEzNze3w2vtSr777jtz7ty55k033WQOHDjQBMyUlBSzrKzM6dJEJMxYB4iAefXVV5tr1qwxX3/9dTMrK8ucNGmSOWzYMLNv374NAszll19ulpeX2+9hbdObO1A9GJ/PZ/p8PtPv97doW9/cviO4fmu6OCMswovVehL8sASHFat1pvGX1jCMbvtlrK2tNd9//33z9ttvN/v162cC5qhRo8wnn3zSLCwsVIgRkXZhbZut7W9z2+1Ro0aZK1asMH/729+a8fHx9vSJEycetIWmuQPSxtxud4vDS3MByTCMbtkq31WFRXgJ/lEEB5TGYcXtdtvdRxYruPj9fidK7zI2bNhgjhs3zgTMhIQEc+bMmWZmZqZZWFjodGkiEgY8Hk+T7a8VEqxWEevAs76+3nz88cfNHj162Nv30047rdmDzAMdlDZmta4392g8b+NpVuA52DzSuUI+vFhfXCt8uN1uO4VbPwy/39+kCdA0f2gGDP5Sd9dk/d1335ljxowxAfP00083N27caO7du9esrq52ujQRCQNWK3jwtji4daNxuKmtrTX/8pe/mHFxcfb2ecSIEU1CRONAZGkucFihIzh8BI+JNM0f9hum+cP+xOou6o6t811VREsG9YaKzMxM8vPzueuuu4D99/IAWLhwIRkZGXg8HvvUaevU4MTERPLz84H9p0p3pzOMggVfYRf2X4GzZ8+eREdHO1iViIQba7u8YMECTNNk7ty55OXlkZOTw/XXX2+/LjIykmuuuYarr77anrZlyxZuvPFGduzYYZ8dOnv27GaXs3nzZmD/JTPM/39Srd/vZ/jw4QD2f9PS0vD7/U3mT05Otvcnc+fOxe12k5qaam8rdXkJhzmdntpDcMvJgZr6rHRvpf3gVff5fK0e/BVu1qxZY44dO9Zunt28ebPTJYlIGAne9jZu4bZawZtjzWN1IUVFRZnTpk07ZEu5tTyrtYQDtMI3PgPVNBt2Z1lDCzhIK490vrAIL63R3LgXMc2ioiJ7zIvCi4i0N+tg8kBjT5rbLlsHloB5/vnn2ycVtGR+a3nBoanxwxo20Hje5gKN9T5WXY0PlqVzhVW3UUssWbKEoqIip8vo0szwuW6hiHQRmzdvti8gapomHo8HwzAwTROfz4ff7ycQCDSYZ/ny5dxxxx0AHHnkkZSVldnPWV3a+fn59tV7XS6X/R7W1dHfe+89TNPEMAx8Ph8ejwePx2N3WeXn55OWltZgudZ7uFwukpOTAUhJScEwDNLT0+0LmXaXW8d0Rd0uvEjLKMCISHtLSkqyx4vk5OTYgaO4uLjZ1wdfKd0wDPbu3cucOXOIjY2lpqYGgOeee46BAwfa92QLvqWLx+Nh+fLlwP4xLMXFxQQCARITE4H9t5MBmDlzZpPlWu8XfLA7e/Zs8vPzu/X4yK5C4UWAhgN2FVxEpL0NHTqUQCBghwLDMOwWEOsWLs3dSy54Ws+ePfnlL3/Jb3/7W2JjY4H9J2Tcf//9VFRUNJl35syZ9gkZs2bNAqCoqIhp06bZ0wzDaHAPvMYyMzNJT08HICMjA8B+T3GOwouIiHQ4K4RYB0p+v5+cnBxcLhf5+fkNzjRqjtU606tXL2699VbGjRsHQHV1NY888gg+n4+9e/c2mCclJYWCggJcLhcZGRl2a89HH31EcnIyfr+fpUuXNru87Oxsu4Vo0qRJuFwufD6ffXBndSeJMxRexKaWFxHpSMHdMY0fB+uGMQzD/ndmZia9e/fm448/Zvr06fTu3Zvq6mp8Ph/3338/e/bsaTDvxo0bcbvd9nIKCgrIyMiwx8k0bu2xQos1rsXtduP1ejEMw64xeIyNy+UiLy+vHf9K0hJhdVdpabu1a9dy4YUX8t///peTTz6Z119/nWHDhjldlojIAVVUVPDAAw/wyCOPUFlZSWxsLF6vlzvvvJOYmBiny5MOpJYXAdAFl0Qk5PTp04ff/OY33H777fTo0YPKykruu+8+5syZQ1VVldPlSQdSeBERkZDVt29ffv3rX3PrrbcSGxtLbW0t999/P3PmzKG6utrp8qSDKLyILXjMi3oTRSRU9O3blzvvvJPMzEx69OjB3r177e6k+vp6p8uTDhDldAHSNQR3Gym4iEio6devH3fddRcRERE8+uij7N27l9/97ncA3HLLLbpPW5hRy4vYFGBEJJT169ePO++8k+uuu46YmBiqqqq49957efzxx50uTdqZwos0oeAiIqFqwIAB/OEPf8Dj8RAVFUVFRQV33nknjz32mLqQwojCiwDoFu8iEjbi4+O5++67ueGGG4iJiaG6uprf/OY3PPbYY06XJu1E4UWApl1Gan0RkVAWHx/PPffcw89//nOioqLYs2cP//u//8tf/vIXp0uTdqABuyIiEpYGDRrE/fffT2RkJH/961/Zs2cPt9xyCwC/+MUviIjQ8Xuo0icnNt0eQETCzeDBg7n33nu54ooriIqKYt++fXi9Xp555hmnS5PDoPAiQNO7SivAiEi4GDx4MA8++CBXXnklLpeLsrIybr31VubNm+d0adJG6jYSEZGwd8QRR/Dggw9SX1/P/Pnzqaio4NZbb6W+vp5rrrnG6fKkldTyIjZ1G4lIOEtISODBBx9k2rRpAJSWlvLrX/+a+fPnO1yZtJbCiwBNb8yoACMi4ejII4/koYceYubMmbhcLnbu3MnNN9/Miy++qO1eCFF4kSb0AxaRcDZ06FDmzJnDxRdfDMDOnTu5/fbbyc3NdbgyaSmFFwF0kToR6V6GDh3Kww8/bHchbd26ldtuu428vDyHK5OWUHiRJnS2kYh0ByNGjODxxx8nPT0dl8vF1q1bufrqq/H5fGzbts3p8uQgFF4EaHqqtIhId5CQkMBTTz3FOeecA8C+ffu4++67ueyyy1i5cqXD1cmBKLyIiEi3NmLECP7yl78wefJkevXqRXV1Ne+88w5paWnce++9bN++3ekSpRGFFwF0kToR6d6SkpJ46aWXePLJJzn++OOB/QN5f//73zN9+nTeeOMNbRe7EIUXERERoHfv3lx11VW89NJL/PKXv6RXr14ArFixgquuuorbbruNQCDgcJUCCi8iIiINjB49mscff5z58+eTmpoK7L+g3f/93/8xffp0XnzxRSoqKhyusntTeBFA3UYiIo1dfPHFvPjii9xxxx0MHjwYgFWrVuHxeLj55pv5+uuvHa6w+1J4EZvONhIRaWjEiBH4fD5yc3NJS0sjMjKS8vJynnnmGS6++GIef/xxtcI4QOFFRETkICIiIjjnnHN4/vnnuf/++xk1ahQAq1ev5rbbbuOaa67hvffec7jK7kXhRQB1G4mIHEpCQgJer5cXX3yRiy66iIiICGpqanjllVeYPn06c+bMoaSkxOkyuwWFFxERkVY488wzWbBgAU888QRjx44FYPPmzWRlZZGRkcGyZcuoqalxuMrwpvByEFZrRHe414WusCsi0nI9e/bkxhtv5OWXX+aKK64gNjYWgLfeeouZM2fyhz/8gU2bNjlcZfgKy/CSmZmJy+UiOzu7yXPWTrrxc9b09PR0APt5v9/PjBkzOr5oEREJOePGjeOpp57ib3/7GyeddBIA27Zt44EHHuCSSy7h1VdfVStMBwi78JKdnU1OTg4AWVlZ9vRAIIDL5cLtduPxePB6vRQWFgL7w451K/RJkyaRnZ2N1+vF5/ORlJTU+SvhgJiYGCIi9n8dNOZFRKTlevXqxYwZM3j55Ze54447iI2NxTRNPvzwQ6655hp++ctf4vf7nS4zrIRVeCksLMTr9QLg8XgaPJeWloZhGCxZssSelpKSAkBiYiIZGRkYhkFxcbEdXILDT7jy+/08//zzPPXUU3YTp8vlokePHg5XJiISWpKTk/njH//IwoULOfnkkwHYvXs3Tz/9NJMnT+bFF1+kvr7e4SrDQ1iFl9TUVHw+HwAzZ860p+fl5eH3+5k3bx4AS5cuxe12289nZWVhmibJycnk5OSQm5vbLYIL7L+GQUJCAkVFRZSWlgJQUVFBQUEB33zzDXv37nW4QhGR0BEZGcl5553H4sWLeeCBBxgyZAiw/7Tqa6+9lksvvZSPPvrI4SpDn8sMk/6B9PR0Jk2aRHFxMUuXLqWoqMh+Ljk5meTkZJYsWUJhYSGpqank5uY2GMuSnJyM3++noKDAbpHpTioqKpgyZQorVqwgNjaWs88+m+HDhzNr1iwmTJjgdHkiIiFp2bJlzJkzh2XLllFbWwvA8OHD+fWvf81ll11GQkKCwxWGprAIL5mZmQQCAZYsWYLL5cLj8dgtKMOHD28QVtLT0ykqKmoSbvx+P36/v9uMcWlsx44dXHTRRRQUFHDUUUfx97//nREjRhAbG0vv3r2dLk9EJGTt2rWL3NxcHn74YXvfExERwdlnn83tt9+O2+0mKirK4SpDS8h3GxUWFpKTk0N+fr59qm9OTg6GYTBjxgw2btwIwGmnnUZeXh75+fl29xHsDy5paWm43W4MwzjgWUrhLvhUaYC+ffsyePBgBRcRkcM0YMAAMjMzWbhwIddddx39+/envr6et99+myuuuII77riD1atXO11mSAn58JKSkmKfHWMYBrm5uZimaafb9evXA7Bw4UIyMjLweDx2t5C1s05MTCQ/Px8At9vdbca7HIwGlYmItK8TTjiBRx55hLlz59oDektLS3nkkUe45JJLWLBgAZWVlQ5XGRrCotsIsMeyNO76CQQCGIYB7D8Dae7cufZr4YcLsmVnZ1NcXMzcuXM7v/guYOfOnVx88cWsWLGCkSNHsnTpUo499linyxIRCUsbN27kySef5KmnnmL79u3A/gvfTZ06Fa/Xy0knndSgNVwaCpvw0hrNjXvp7nbt2sXFF1/MO++8w4gRI1i6dCmjR492uiwRkbBVX1/P8uXLeeihh1i8eLE93TAMbrjhBn7+85/bZytJQyHfbdQWS5YsUXARERFHRUREcO6557JgwQIeeughu9fA7/fz29/+liuuuIK33npL3fjN6JbhRUREpKvo378/t956K6+88grXXHMNUVFR1NbW8u9//5vp06fzq1/9ip07dzpdZpei8CJA0xszdsPeRBERR5188snMnTuXefPm2WMOS0tLycnJ4X//938drq5rUXgRgAYDwxRcRESc0aNHDy6//HIWLVrEb37zGwYMGABAXV2dw5V1LboqjoiISBdjGAYPPPAA5557Lp9//jkXXHCB0yV1KQovYlO3kYhI1zJp0iQmTZrkdBldjrqNBGh6hV0REZGuSuFFmlCri4iIdGUKL9IsBRgREemqFF4EaHqqtIiISFel8CIiIiIhReFFALW8iIhI6FB4EZtOlRYRkVCg8CIAOk1aRERChsKLiIiIhBSFF7Gp20hEREKBwosAujGjiIiEDoUXsSnAiIhIKFB4EUDBRUREQofCi9h0xpGIiIQChRcBmra8qPVFRES6KoUXERERCSkKLwLo9gAiIhI6FF7Epuu8iIhIKFB4ERERkZCi8CKAuo1ERCR0KLxIsxRgRESkq1J4OQirNSIvL8/pUjpcREQEERH7vw4KLiIi0pWFXXjJzs62Q4fL5SI7O7vB84eanp6ebr8PgN/vZ8aMGZ1TvAOqqqooLy+nsrKSuro6p8sRERE5pLAKLy6XC6/Xi8/nwzRNDMPA6/USCAQIBAK4XC7cbjcejwev10thYSEAmZmZ5ObmAjBp0iSys7Pt90lKSnJylTrcpk2bmDt3LjfeeCMff/yxPb1Hjx4OViUiInJgUU4X0J6Cuzvy8vLw+/12AElOTsYwDJYsWUJmZiYAKSkpACQmJpKRkYFhGBQXF5OTk4PP5yMrK8uR9ehMSUlJzJgxg7Fjx/Ltt9+ybds29u7dy5///Gd+/OMfk56eztChQ50uU0RExBZWLS+WwsJCMjIy8Hg8ZGVl2UFm3rx5ACxduhS3222/PisrC9M0SU5OJicnh9zc3G4RXCxHHXUU559/PqNGjQIgMjKSuLg4tm7dyqZNmxyuTkREpKGwankB7C4ft9vN3LlzAbjrrrtwu92kpKRQWFiI3+9n9uzZDeZLTk7G7/dTUFBgt8h0J7W1tfaYl6ioKK6++mqOP/54h6sSERFpKqxaXjIzM+2xKkuWLAGww8qsWbMAmD17NoZhNBiEawUXv9/fLYMLNL3OS01NjcMViYiINC9sWl6sAJKbm9sgmGzcuBGA0047jby8PPLz8ykoKGgwX1paGoFAAMMwALrNeJcD0anSIiLSlYV8y0thYSEul8tuOWl8WvP69esBWLhwoT0OxmpdsVoaEhMTyc/PB8DtdnfL4GL9LSwKMCIi0lWFdMtLIBAgNTXV/n+r5QSwx65MmzYNr9eL1+vF4/Ewd+5cCgsL7fmKiorseYqLi+1xMt2Rbg8gIiKhIKTDS1JS0iF3tM29xhr3EhxcumNrS7DGLS8iIiJdVUiHl7ayBvNKQ8EtL2p9ERGRrirkx7yIiIhI96LwIkDTU6VFRES6KoUXERERCSkKL9KExryIiEhXpvAiNnUbiYhIKFB4EVvw6dIKMCIi0lUpvEgTCi4iItKVKbyITReqExGRUKDwIk1owK6IiHRlCi8iIiISUhRexKazjUREJBQovIhN9zYSEZFQoPAiIiIiIUXhRUREREKKwovY1G0kIiKhQOFFREREQorCi4iIiIQUhRex6d5GIiISChRexKbbA4iISChQeBEREZGQovAiNnUbiYhIKFB4ERERkZCi8CI2jXkREZFQoPAiIiIiIUXhRWwa8yIiIqFA4UVERERCisKLiIiIhBSFF7Gp20hEREKBwouIiIiElCinC5CuQy0vIiJyMFVVVTz44IOUlJRw1llncfbZZ5OQkNDpdajlRbqMvXv3ct9997FgwQJHlv/VV19x00034ff7HVl+WVkZd955J4sWLer0ZW/ZsoWbb76ZDz74oNOXXVRUxK9+9Su++eabTl82wPPPP88DDzxATU1Npy97x44d3Hbbbbzzzjudvuz169dz00038fnnn3f6soOZpsmTTz7Jww8/7OhB0+7du/ntb3/Lv/71L8dqsNTV1fHQQw/x5JNPOl1KE4FAgKeffponnniCq666itNPP53rr7+eTz75hOrq6k6rQ+FFbMEtLz179uz05W/fvp2//vWvrFmzptOXDbBs2TIWLlzI3r17HVn+2rVreeaZZ1i/fn2nL/vzzz/nueeeY/v27Z2+7HfffZe8vDzKyso6fdmmafLss8/yn//8h6iozm+I/vLLL5k3bx6bNm3q9GW///77zJ8/35HPPFhlZSV/+9vf+OCDDxy9UGZRURF/+9vfHDt4CVZSUsLf/vY3Vq1a5XQpTdTU1Nghs6qqinXr1vH0008zceJErr32Wr777rtOqUPdRtKs2bNnc+SRR3bqMktKSti6dSuLFi067I15REQE8fHxLd4YRkRE8NZbb7Fnzx4effRRhgwZ0qlHgRERERQVFVFWVsabb77Jpk2bME2TiIgI4uLiiImJ6dBlv//+++zbt48333yTtWvXdsi69+3bl549ezZ476ioKN58801qampYtmwZa9eupb6+vt2X3RyXy8XevXv57rvvGDlyJC+88AJRUVGHXPfevXvTu3fvw15+VFQUb731ll3DsmXLOm3do6KieOedd6ivr2fTpk188cUX1NXVdcqyg0VERFBSUsKGDRs46qij+Oyzz3C5XK36/sXExBAXF0dERNuPxaOjo1m9ejXl5eXU1dWxdevWTv97uFwu4uPjiYiIoLS0lG3bttGvXz9HWgQPxjAM7r77brxeL7t377an79mzh/nz57N69WqefvppTjjhhA6tw2VqcIP8fzfffDOPPvqo02VImHK5XM3uYKydRERERKcfeZumSX19/QFra+71ERERh7WjDFZXV0ddXR1RUVHt9p4tVVtbi2maxMTEdPqyg5mmyb59+4iKiiI6OrrV87f0szvUe9TU1LBv3z569uxJdHR0p3dhWevhcrmoq6ujvLycnj17OtIKfjBWnbt27Tpg2B40aBBPPPEE06dP77DftMKL2P7xj39w7bXXsnPnTqdLERGREHb22WezaNGidmmlbI66jcR2/vnnU1hYyPr16zv9CDgyMpKXXnqJgoICHnzwQXr37n1YRz719fWUlJS06D1cLheVlZX4fD7OOOMMJk+e3KlNxi6XC5fLxYsvvsimTZu47bbbiIyMtFsFysrKqKqq6pDPxGqif/HFF4mJieHSSy/tkCNO0zQpLy9vMJ7IOtp99dVXGTFiBCkpKZ3WbQL7W3rWrVvHkiVLuPDCC0lISDjk8l0uF3v27KG8vPywPw+Xy8V//vMfamtrOeussw7rvVq73Lq6Ot5++22io6MZPXq0YwNlXS4XW7du5bvvvuOUU04hNja2VbW4XC6qq6spLS09rO+Oy+Vi06ZN7Nu3j6SkpDa/z+EwTZMdO3ZQX1/Pnj17qKysZODAgY62ih2Iy+Viy5YtB9xOHnHEEVx77bUd22pkinQRN998szlz5kxHlr1hwwbzuOOOMxctWuTI8k3TNGfOnGnefPPNnb7cyspK85xzzjHnzJnT6cvesmWLefLJJ5t5eXmdvmzTNM358+ebp5xyirlt27ZOX3Z1dbV5/vnnm3fffXenL3vnzp3mmWeeaT711FOdvuzGHnvsMTM1NdUsKytzrIb6+nrz8ssvN3/5y186VkOwP/zhD2Z6erpZWVnpdCnNeuaZZ8y+ffuaQJPHRRddZPr9/g6voetFOumWTNOkuLiY5ORkR5a/detW9u7dy7HHHuvI8isrK9m4cSOjR4/u9GWXlZWxfft2xo0b1+nL3rFjB7t372bMmDGdvmyA4uJihgwZQnx8fKcvu6Kigi1btjB27NhOX/auXbvYtWuXI595Y+vWrWPo0KH06dPHsRqqqqrYtGmTY9/DxtavX09iYiK9evVyupRmLViwgPLy8gbTEhMTmT17Ns8++2yntF5F3nPPPfd0+FJEDqGuro7KykomTZrU6Wc5wf6R8oMHD2bSpElERkZ2+vJramqora3l3HPPZeDAgZ267H379hEdHU1aWlqH9U8fSGVlJf369ePcc89t02DNw1VWVsYpp5ziyE6ruroal8tFWloacXFxnbrsvXv3EhsbS1pamuMDQsvKyjjzzDMdO3CB/b+/mpoazjnnHAYNGuRYHZbdu3eTmprKUUcd5XQpzfroo4/4+OOPgf1d/mlpaTz55JPMmDGj075PGrArIiIiLfb4449z0003cdJJJ3HDDTcwa9YsevTo0ak1KLyIiIhIi+3cuZNAIMDQoUMZOnSoIzVozIt0qPT0dPtsGpfLRXp6eqcuPxAINFi+y+UiLy+vU5ZdWFjYZNmFhYWdsuzGnPwckpOTGyw7MzOzU5abl5fX5O8fCAQ6fLmZmZkNlulUd0h2dnaT9e8MXWX9G2v8t8jOzna6JMc+o8MVHx/Pj370I8eCCyi8SAfKy8sjPz+fgoIC+/THzj4NMTMzE8MwME2T3NxcAIYPH94py541axZutxvTNPH5fACO/Nid/Byys7Px+/32A/YP7OsMGRkZeDweTNPE4/EAHb/ehYWF5OTkkJubi2maGIbhyM47EAjg9Xrx+XyYponb7cYwjA5fbldZ/8aswGyaJgUFBQCMHDnSyZIc+4zCRoefzyTdFmB6PB7TNE2zoKDABMyCgoJWzXc4cnNzGyzT4/GYhmG0aF63222f+pebm9vqZft8PhOwTxl0u92m2+1u0bwEnXbYkr9XS96vLZ+Daf7wd2jLqY9+v98ETJ/PZ5rmD5/Hod6r8efWFh6PxwzevBmG0eLvlLXObfncDcOwP2dr/VvyPtY6Ay3+nhyM2+1u8F0P/hwOxjCMw/ret2X9rddZj/b47QezvvNWHdZv81Aaf3/bW1s/o8bzBf/NuxOFF+kQPp/P3hAahtHiDUbjnf7hMAzDrsGq51AbRmtDZ+0827rzbrwTaMmGKXgH1l5/g7Z+Dqb5QwBo687ECovWDrml4TH4c2vLTtTv9zf792/J+xxOaMzNzW12uQf7HIO/b+313S8oKGi2jkOtU/D3rjVhz9KW9beW6/P5mgTO9mLt7K3vcksPJILrCf6c2iNgtfUzahzE2iPot1VrDsg6gsKLdIjg0GCapr3zasl87XHkFbyx8fv99lFUa37k1nu09sgrOIQEv09LdkqHc9TfnLZ+DsHr0NYNY+PwYYWnQy33cD9/KwRYQclal0Ox/vZtZc1v1W/tKFuird+15lg7XWvZVoA9mOCdYFsDe1vW3+PxmB6Pp1UBszWCW3Ws73Frgqz1eVh/z9a0ph1MWz4ja77g1zkZIBq3ADXHWs/GB2btcYCm8CLtrqCgoMEOqLXNx+2xAfN4PA12uq1pcTDNH3YmbdkwWBu54FpasmEK/lG3xwbpcD+Hlm5Qm5Obm9tgR9zS7qrGG7e2BKfGNbdkA299P9oa1Px+f5NltCaMtGfTf+P1b+kBQXBXaWv/Dm1d//b+zjfm8/kafN9b2hoU/H0N3na0dP5Daetn1Ph1HdmtZQWPAy3jUC1lB/vdtUeXnMKLtLvgL31w6m7pfO2hcRNvS1scFSp1eAAAA75JREFUTPOHHVlbNqaN+++tANCaH2l7NQW39XMwDMNu1m5rK0jwjtBa/0MFIWuHYWlL83zj5v2WHtE3Dk2t3aha35nWdpkEz9se3YSNj3Bb+l2yXtfW1qe2rn/jbtr2Ftw1Y20DWvK7Dm5VCP4etkfIPNzPyHpde35vmmOFj+Df8oEezf1NDvU7OtxWdoUXaXeNd9YtDQ5t2Vk1p3E3TWu6jKwdfluPCBoHhNZ0GVla0hzbEm35HII39sGP1mocGFob4Fo7sNjSOCS1JLBZYzWCl9va1r/Gf9uW7iTbe1Bo4+W2JDRaO0GrtaytXUZtWX/T7LgBp8397lvb8hj8fWivsNCWz8g0O3+grvWZHqjl+GCt2cGtvI3Dj/VeCi/S5QRvIFraVdFezbHB72VpaZeRteM+nG6rxhuilnQZBddnhaf2OsuotZ+D5XACVOOdRmuDiDV/WzbMjXcMLe0ysl7T1uU2DmctDSTtFVSD3y94h9CSHUTwQUNbDyDauv7t+btvrPGBQ0uX1Vw3kTWtPUJmWz6jxr/ftob71rA+0wMF0YP9PYPrC/67BbceKbxIl9J4x9Waror2OopoHCBa0uLQXGtDW35YjX/oLWlxaNzV1B5jftr6OQTP29YNdeOdRmsGjDY+Omutxp91S/+eh9PK1Hg5LW1t64gdUPD3raUtjo3/9m3RlvW35uuo1oPG3/mWtgY1/u0frGukLdryGTXuUm/v0HugOg+27gcLL8EhJfg3HfydV3iRLss6Wmnv6za0hvUDdOJUQutH2xm3hz8YJz+Hw+2Ga6vgQNiZgseOOMnaSXT0Dq6xrrL+jbX3WXztwanPqKWsA0qr9bi5M6QO9PtqHF6sbrfgM9kON7zo3kYiIiLSQHp6OkVFRVx//fU89dRTFBUVUVhYSGpqqn3FcK/XS3MRIi8vj4yMDPx+P2lpaaSlpTF37lySk5NJTk5myZIlJCcn29PbQrcHEBERkQYmTZpk39LDkpKSgmmaZGVlUVxc3KLbGVx//fXk5OTgcrnw+/12WPH7/Yd1qxCFFxEREWnAuveT1+tt9vmlS5ce8L5Vp512GgAfffQRWVlZmPuHqGCaJklJSfYNUg/n/lIKLyIiItLAjBkz7MBRVFTU4LnCwkL8fj+zZs1qdt6kpCQMw+Ddd99t9vmPPvoIOLyb5GrMi4iIiLSINZ7F7XazZMmSVs+fnZ2N1+tt8/wWhRcREREJKeo2EhERkZCi8CIiIiIhReFFREREQorCi4iIiIQUhRcREREJKf8P9mx4GwbZtxQAAAAASUVORK5CYII="
    }
   },
   "cell_type": "markdown",
   "id": "c751095e",
   "metadata": {},
   "source": [
    "# 数据分析咖哥十话\n",
    "\n",
    "## 第6话 温故知新惜旧客：行为分析提升留存\n",
    "\n",
    "**题解** 湖底捞拉面馆，凭借超越想象力的优质服务迅速树立了形象，在餐饮业的红海中劈杀一条血路，打造出网红品牌，利用线上的口碑，实现了线下业务的超速发展。然而，公司创建十年之后，仅靠“超优质服务”这一招牌似乎无法继续发力。新用户仍然不断增多，但是老用户留存率下降，流失率上升（如下图所示）。这就是我们前面案例提过的现象——用户的LTV减少。如何破局？\n",
    "\n",
    "\n",
    "![image.png](attachment:image.png)\n",
    "\n",
    "\n",
    "<center>江里捞留存曲线</center>\n",
    "\n",
    "**详细内容请参考拙作：《数据分析咖哥十话》** 人民邮电出版社2022年出版\n",
    "\n",
    "![image-2.png](attachment:image-2.png)\n",
    "\n",
    "购书链接：https://item.jd.com/13335199.html"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "60a79b91",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
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       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>用户码</th>\n",
       "      <th>性别</th>\n",
       "      <th>家庭套餐优惠</th>\n",
       "      <th>儿童餐优惠</th>\n",
       "      <th>特色菜套餐</th>\n",
       "      <th>酒水套餐</th>\n",
       "      <th>饮料套餐</th>\n",
       "      <th>甜品套餐</th>\n",
       "      <th>生日套餐A</th>\n",
       "      <th>生日套餐B</th>\n",
       "      <th>会员卡类型</th>\n",
       "      <th>入会月数</th>\n",
       "      <th>会费支付方式</th>\n",
       "      <th>平均月消费</th>\n",
       "      <th>总消费</th>\n",
       "      <th>已停付会费</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>女</td>\n",
       "      <td>是</td>\n",
       "      <td>是</td>\n",
       "      <td>否</td>\n",
       "      <td>是</td>\n",
       "      <td>否</td>\n",
       "      <td>是</td>\n",
       "      <td>是</td>\n",
       "      <td>否</td>\n",
       "      <td>年卡</td>\n",
       "      <td>9</td>\n",
       "      <td>手工转账</td>\n",
       "      <td>65.6</td>\n",
       "      <td>593.3</td>\n",
       "      <td>否</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2</td>\n",
       "      <td>男</td>\n",
       "      <td>否</td>\n",
       "      <td>否</td>\n",
       "      <td>否</td>\n",
       "      <td>否</td>\n",
       "      <td>否</td>\n",
       "      <td>否</td>\n",
       "      <td>否</td>\n",
       "      <td>是</td>\n",
       "      <td>月卡</td>\n",
       "      <td>9</td>\n",
       "      <td>手工转账</td>\n",
       "      <td>59.9</td>\n",
       "      <td>542.4</td>\n",
       "      <td>否</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3</td>\n",
       "      <td>男</td>\n",
       "      <td>否</td>\n",
       "      <td>否</td>\n",
       "      <td>否</td>\n",
       "      <td>否</td>\n",
       "      <td>是</td>\n",
       "      <td>否</td>\n",
       "      <td>否</td>\n",
       "      <td>否</td>\n",
       "      <td>月卡</td>\n",
       "      <td>4</td>\n",
       "      <td>就餐时付费</td>\n",
       "      <td>73.9</td>\n",
       "      <td>280.85</td>\n",
       "      <td>是</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4</td>\n",
       "      <td>男</td>\n",
       "      <td>是</td>\n",
       "      <td>否</td>\n",
       "      <td>否</td>\n",
       "      <td>是</td>\n",
       "      <td>是</td>\n",
       "      <td>否</td>\n",
       "      <td>是</td>\n",
       "      <td>是</td>\n",
       "      <td>月卡</td>\n",
       "      <td>13</td>\n",
       "      <td>就餐时付费</td>\n",
       "      <td>98.0</td>\n",
       "      <td>1237.85</td>\n",
       "      <td>是</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>5</td>\n",
       "      <td>女</td>\n",
       "      <td>否</td>\n",
       "      <td>是</td>\n",
       "      <td>否</td>\n",
       "      <td>否</td>\n",
       "      <td>否</td>\n",
       "      <td>是</td>\n",
       "      <td>是</td>\n",
       "      <td>是</td>\n",
       "      <td>月卡</td>\n",
       "      <td>9</td>\n",
       "      <td>花呗付款</td>\n",
       "      <td>69.4</td>\n",
       "      <td>571.45</td>\n",
       "      <td>否</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   用户码 性别 家庭套餐优惠 儿童餐优惠 特色菜套餐 酒水套餐 饮料套餐 甜品套餐 生日套餐A 生日套餐B 会员卡类型  入会月数 会费支付方式  \\\n",
       "0    1  女      是     是     否    是    否    是     是     否    年卡     9   手工转账   \n",
       "1    2  男      否     否     否    否    否    否     否     是    月卡     9   手工转账   \n",
       "2    3  男      否     否     否    否    是    否     否     否    月卡     4  就餐时付费   \n",
       "3    4  男      是     否     否    是    是    否     是     是    月卡    13  就餐时付费   \n",
       "4    5  女      否     是     否    否    否    是     是     是    月卡     9   花呗付款   \n",
       "\n",
       "   平均月消费      总消费 已停付会费  \n",
       "0   65.6    593.3     否  \n",
       "1   59.9    542.4     否  \n",
       "2   73.9   280.85     是  \n",
       "3   98.0  1237.85     是  \n",
       "4   69.4   571.45     否  "
      ]
     },
     "execution_count": 1,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import numpy as np # 导入NumPy\n",
    "import pandas as pd # 导入Pandas\n",
    "df_member = pd.read_csv('江里捞会员.csv') # 载入数据集\n",
    "df_member.head() # 输出前几行数据"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "f58cc032",
   "metadata": {},
   "outputs": [],
   "source": [
    "df_member['已停付会费'].replace(to_replace='是', value=1, inplace=True) # 流失为1\n",
    "df_member['已停付会费'].replace(to_replace='否', value=0, inplace=True) # 未流失为0"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "2d8c520f",
   "metadata": {},
   "outputs": [],
   "source": [
    "df_member['性别'].replace(to_replace='女', value=0, inplace=True) # 女生-0\n",
    "df_member['性别'].replace(to_replace='男', value=1, inplace=True) # 男生-1\n",
    "# 将字段中“是”和“否”转换成模型可以读取的数值（布尔类型数据也是数值数据）\n",
    "binary_features = ['家庭套餐优惠', '儿童餐优惠', '特色菜套餐', '酒水套餐', '饮料套餐', '甜品套餐','生日套餐A','生日套餐B']\n",
    "for field in binary_features:\n",
    "    df_member[field] = df_member[field] == '是'\n",
    "# 把“总消费”字段转换成数值类型的字段\n",
    "df_member['总消费'] = pd.to_numeric(df_member['总消费'], errors='coerce')\n",
    "df_member['总消费'].fillna(0, inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "82063791",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 7043 entries, 0 to 7042\n",
      "Data columns (total 16 columns):\n",
      " #   Column  Non-Null Count  Dtype  \n",
      "---  ------  --------------  -----  \n",
      " 0   用户码     7043 non-null   int64  \n",
      " 1   性别      7043 non-null   int64  \n",
      " 2   家庭套餐优惠  7043 non-null   bool   \n",
      " 3   儿童餐优惠   7043 non-null   bool   \n",
      " 4   特色菜套餐   7043 non-null   bool   \n",
      " 5   酒水套餐    7043 non-null   bool   \n",
      " 6   饮料套餐    7043 non-null   bool   \n",
      " 7   甜品套餐    7043 non-null   bool   \n",
      " 8   生日套餐A   7043 non-null   bool   \n",
      " 9   生日套餐B   7043 non-null   bool   \n",
      " 10  会员卡类型   7043 non-null   object \n",
      " 11  入会月数    7043 non-null   int64  \n",
      " 12  会费支付方式  7043 non-null   object \n",
      " 13  平均月消费   7043 non-null   float64\n",
      " 14  总消费     7043 non-null   float64\n",
      " 15  已停付会费   7043 non-null   int64  \n",
      "dtypes: bool(8), float64(2), int64(4), object(2)\n",
      "memory usage: 495.3+ KB\n",
      "None\n"
     ]
    }
   ],
   "source": [
    "print(df_member.info())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "56d67c9d",
   "metadata": {},
   "outputs": [],
   "source": [
    "# pip install lifelines"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "cbd68eb3",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0, 0.5, '留存率(%)')"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "import lifelines # 导入Lifelines\n",
    "import matplotlib.pyplot as plt # 导入pyplot 模块\n",
    "plt.rcParams[\"font.family\"]=['SimHei'] #用来设定字体样式\n",
    "plt.rcParams['font.sans-serif']=['SimHei'] #用来设定无衬线字体样式\n",
    "plt.rcParams['axes.unicode_minus']=False #用来正常显示负号\n",
    "kmf = lifelines.KaplanMeierFitter() # 创建KaplanMeier 模型\n",
    "kmf.fit(df_member['入会月数'], event_observed=df_member['已停付会费'], label='会员预期留存线') #拟合模型\n",
    "fig, ax = plt.subplots(figsize=(10,6)) # 创建图像和坐标系\n",
    "kmf.plot(ax=ax,ci_alpha=0) # 绘图\n",
    "ax.set_title('Kaplan-Meier 留存曲线- 所有用户') # 图题\n",
    "ax.set_xlabel('入会月数') #x 轴\n",
    "ax.set_ylabel('留存率(%)') #y 轴"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "36268e07",
   "metadata": {},
   "outputs": [],
   "source": [
    "def life_by_cat(feature, t='入会月数', event='已停付会费', df=df_member, ax=None): # 定义分类留存曲线函数\n",
    "    for cat in df[feature].unique(): # 遍历类别\n",
    "        idx = df[feature] == cat # 当前类别\n",
    "        kmf = lifelines.KaplanMeierFitter() # 创建KaplanMeier 模型\n",
    "        kmf.fit(df[idx][t], event_observed=df[idx][event], label=cat) # 拟合模型\n",
    "        kmf.plot(ax=ax, label=cat,ci_alpha=0) # 绘图"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "e2727f6d",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0, 0.5, '留存率(%)')"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig_pmt, ax_pmt = plt.subplots(figsize=(10,6)) # 创建图像和坐标系\n",
    "life_by_cat(feature='会费支付方式', ax=ax_pmt) # 调用函数\n",
    "ax_pmt.set_title('会费支付方式对留存的影响') # 图题\n",
    "ax_pmt.set_xlabel('入会月数') #x 轴\n",
    "ax_pmt.set_ylabel('留存率(%)') #y 轴"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "35168d5d",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0, 0.5, '留存率(%)')"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig_contract, ax_contract = plt.subplots(figsize=(10,6)) # 创建图像和坐标系\n",
    "life_by_cat(feature='会员卡类型', ax=ax_contract) # 调用函数\n",
    "ax_contract.set_title('会员卡类型对留存的影响') # 图题\n",
    "ax_contract.set_xlabel('入会月数') #x 轴\n",
    "ax_contract.set_ylabel('留存率(%)') #y 轴"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "d4e22edb",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0, 0.5, '留存率(%)')"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig_gender, ax_gender = plt.subplots(figsize=(10,6)) # 创建图像和坐标系\n",
    "life_by_cat(feature='性别', ax=ax_gender) # 调用函数\n",
    "ax_gender.set_title('性别对留存的影响') # 图题\n",
    "ax_gender.set_xlabel('入会月数') #x 轴\n",
    "ax_gender.set_ylabel('留存率(%)') #y 轴"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "f30b97a3",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>用户码</th>\n",
       "      <th>性别</th>\n",
       "      <th>家庭套餐优惠</th>\n",
       "      <th>儿童餐优惠</th>\n",
       "      <th>特色菜套餐</th>\n",
       "      <th>酒水套餐</th>\n",
       "      <th>饮料套餐</th>\n",
       "      <th>甜品套餐</th>\n",
       "      <th>生日套餐A</th>\n",
       "      <th>生日套餐B</th>\n",
       "      <th>入会月数</th>\n",
       "      <th>平均月消费</th>\n",
       "      <th>总消费</th>\n",
       "      <th>已停付会费</th>\n",
       "      <th>会员卡类型_年卡</th>\n",
       "      <th>会员卡类型_月卡</th>\n",
       "      <th>会费支付方式_微信自动扣款</th>\n",
       "      <th>会费支付方式_手工转账</th>\n",
       "      <th>会费支付方式_花呗付款</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>True</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>9</td>\n",
       "      <td>65.60</td>\n",
       "      <td>593.30</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>9</td>\n",
       "      <td>59.90</td>\n",
       "      <td>542.40</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>4</td>\n",
       "      <td>73.90</td>\n",
       "      <td>280.85</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4</td>\n",
       "      <td>1</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>True</td>\n",
       "      <td>13</td>\n",
       "      <td>98.00</td>\n",
       "      <td>1237.85</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>True</td>\n",
       "      <td>True</td>\n",
       "      <td>9</td>\n",
       "      <td>69.40</td>\n",
       "      <td>571.45</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7038</th>\n",
       "      <td>7039</td>\n",
       "      <td>0</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>13</td>\n",
       "      <td>55.15</td>\n",
       "      <td>742.90</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7039</th>\n",
       "      <td>7040</td>\n",
       "      <td>1</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>2</td>\n",
       "      <td>50.30</td>\n",
       "      <td>92.75</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7040</th>\n",
       "      <td>7041</td>\n",
       "      <td>1</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>22</td>\n",
       "      <td>85.10</td>\n",
       "      <td>1873.70</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7041</th>\n",
       "      <td>7042</td>\n",
       "      <td>1</td>\n",
       "      <td>True</td>\n",
       "      <td>True</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>67</td>\n",
       "      <td>67.85</td>\n",
       "      <td>4627.65</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7042</th>\n",
       "      <td>7043</td>\n",
       "      <td>1</td>\n",
       "      <td>True</td>\n",
       "      <td>True</td>\n",
       "      <td>True</td>\n",
       "      <td>True</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>True</td>\n",
       "      <td>63</td>\n",
       "      <td>59.00</td>\n",
       "      <td>3707.60</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>7043 rows × 19 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "       用户码  性别  家庭套餐优惠  儿童餐优惠  特色菜套餐   酒水套餐   饮料套餐   甜品套餐  生日套餐A  生日套餐B  入会月数  \\\n",
       "0        1   0    True   True  False   True  False   True   True  False     9   \n",
       "1        2   1   False  False  False  False  False  False  False   True     9   \n",
       "2        3   1   False  False  False  False   True  False  False  False     4   \n",
       "3        4   1    True  False  False   True   True  False   True   True    13   \n",
       "4        5   0   False   True  False  False  False   True   True   True     9   \n",
       "...    ...  ..     ...    ...    ...    ...    ...    ...    ...    ...   ...   \n",
       "7038  7039   0   False  False   True  False  False   True  False  False    13   \n",
       "7039  7040   1   False  False  False   True  False  False  False  False     2   \n",
       "7040  7041   1    True  False  False  False  False  False  False   True    22   \n",
       "7041  7042   1    True   True   True  False   True   True  False   True    67   \n",
       "7042  7043   1    True   True   True   True   True  False   True   True    63   \n",
       "\n",
       "      平均月消费      总消费  已停付会费  会员卡类型_年卡  会员卡类型_月卡  会费支付方式_微信自动扣款  会费支付方式_手工转账  \\\n",
       "0     65.60   593.30      0         1         0              0            1   \n",
       "1     59.90   542.40      0         0         1              0            1   \n",
       "2     73.90   280.85      1         0         1              0            0   \n",
       "3     98.00  1237.85      1         0         1              0            0   \n",
       "4     69.40   571.45      0         0         1              0            0   \n",
       "...     ...      ...    ...       ...       ...            ...          ...   \n",
       "7038  55.15   742.90      0         1         0              0            1   \n",
       "7039  50.30    92.75      0         0         1              0            1   \n",
       "7040  85.10  1873.70      1         0         1              0            0   \n",
       "7041  67.85  4627.65      0         0         0              0            1   \n",
       "7042  59.00  3707.60      0         0         0              0            0   \n",
       "\n",
       "      会费支付方式_花呗付款  \n",
       "0               0  \n",
       "1               0  \n",
       "2               0  \n",
       "3               0  \n",
       "4               1  \n",
       "...           ...  \n",
       "7038            0  \n",
       "7039            0  \n",
       "7040            0  \n",
       "7041            0  \n",
       "7042            0  \n",
       "\n",
       "[7043 rows x 19 columns]"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#把分类字段转换为哑变量\n",
    "category_features = ['会员卡类型', '会费支付方式'] #要转换的分类的字段\n",
    "df_member = pd.get_dummies(df_member, #哑变量的个数会比总类别数少1 \n",
    "                           drop_first=True, #这是因为drop_first=True\n",
    "                           columns=category_features) #这能够避免回归中的多重共线性问题 \n",
    "df_member #显示数据"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "299482e9",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>model</th>\n",
       "      <td>lifelines.CoxPHFitter</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>duration col</th>\n",
       "      <td>'入会月数'</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>event col</th>\n",
       "      <td>'已停付会费'</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>baseline estimation</th>\n",
       "      <td>breslow</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>number of observations</th>\n",
       "      <td>7043</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>number of events observed</th>\n",
       "      <td>1869</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>partial log-likelihood</th>\n",
       "      <td>-12715.47</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>time fit was run</th>\n",
       "      <td>2022-01-31 09:14:55 UTC</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div><table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th style=\"min-width: 12px;\"></th>\n",
       "      <th style=\"min-width: 12px;\">coef</th>\n",
       "      <th style=\"min-width: 12px;\">exp(coef)</th>\n",
       "      <th style=\"min-width: 12px;\">se(coef)</th>\n",
       "      <th style=\"min-width: 12px;\">coef lower 95%</th>\n",
       "      <th style=\"min-width: 12px;\">coef upper 95%</th>\n",
       "      <th style=\"min-width: 12px;\">exp(coef) lower 95%</th>\n",
       "      <th style=\"min-width: 12px;\">exp(coef) upper 95%</th>\n",
       "      <th style=\"min-width: 12px;\">z</th>\n",
       "      <th style=\"min-width: 12px;\">p</th>\n",
       "      <th style=\"min-width: 12px;\">-log2(p)</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>用户码</th>\n",
       "      <td>-0.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>-0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>-1.58</td>\n",
       "      <td>0.11</td>\n",
       "      <td>3.13</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>性别</th>\n",
       "      <td>-0.03</td>\n",
       "      <td>0.97</td>\n",
       "      <td>0.05</td>\n",
       "      <td>-0.12</td>\n",
       "      <td>0.06</td>\n",
       "      <td>0.89</td>\n",
       "      <td>1.06</td>\n",
       "      <td>-0.66</td>\n",
       "      <td>0.51</td>\n",
       "      <td>0.98</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>家庭套餐优惠</th>\n",
       "      <td>-0.20</td>\n",
       "      <td>0.82</td>\n",
       "      <td>0.05</td>\n",
       "      <td>-0.31</td>\n",
       "      <td>-0.09</td>\n",
       "      <td>0.74</td>\n",
       "      <td>0.91</td>\n",
       "      <td>-3.63</td>\n",
       "      <td>&lt;0.005</td>\n",
       "      <td>11.79</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>儿童餐优惠</th>\n",
       "      <td>-0.15</td>\n",
       "      <td>0.86</td>\n",
       "      <td>0.07</td>\n",
       "      <td>-0.28</td>\n",
       "      <td>-0.02</td>\n",
       "      <td>0.75</td>\n",
       "      <td>0.99</td>\n",
       "      <td>-2.18</td>\n",
       "      <td>0.03</td>\n",
       "      <td>5.09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>特色菜套餐</th>\n",
       "      <td>-0.31</td>\n",
       "      <td>0.73</td>\n",
       "      <td>0.07</td>\n",
       "      <td>-0.44</td>\n",
       "      <td>-0.19</td>\n",
       "      <td>0.64</td>\n",
       "      <td>0.83</td>\n",
       "      <td>-4.78</td>\n",
       "      <td>&lt;0.005</td>\n",
       "      <td>19.11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>酒水套餐</th>\n",
       "      <td>-0.21</td>\n",
       "      <td>0.81</td>\n",
       "      <td>0.05</td>\n",
       "      <td>-0.31</td>\n",
       "      <td>-0.10</td>\n",
       "      <td>0.73</td>\n",
       "      <td>0.90</td>\n",
       "      <td>-3.81</td>\n",
       "      <td>&lt;0.005</td>\n",
       "      <td>12.80</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>饮料套餐</th>\n",
       "      <td>-0.08</td>\n",
       "      <td>0.92</td>\n",
       "      <td>0.05</td>\n",
       "      <td>-0.19</td>\n",
       "      <td>0.03</td>\n",
       "      <td>0.83</td>\n",
       "      <td>1.03</td>\n",
       "      <td>-1.45</td>\n",
       "      <td>0.15</td>\n",
       "      <td>2.75</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>甜品套餐</th>\n",
       "      <td>-0.21</td>\n",
       "      <td>0.81</td>\n",
       "      <td>0.06</td>\n",
       "      <td>-0.34</td>\n",
       "      <td>-0.08</td>\n",
       "      <td>0.71</td>\n",
       "      <td>0.92</td>\n",
       "      <td>-3.27</td>\n",
       "      <td>&lt;0.005</td>\n",
       "      <td>9.86</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>生日套餐A</th>\n",
       "      <td>-0.13</td>\n",
       "      <td>0.87</td>\n",
       "      <td>0.06</td>\n",
       "      <td>-0.25</td>\n",
       "      <td>-0.02</td>\n",
       "      <td>0.78</td>\n",
       "      <td>0.98</td>\n",
       "      <td>-2.33</td>\n",
       "      <td>0.02</td>\n",
       "      <td>5.68</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>生日套餐B</th>\n",
       "      <td>-0.13</td>\n",
       "      <td>0.87</td>\n",
       "      <td>0.06</td>\n",
       "      <td>-0.25</td>\n",
       "      <td>-0.02</td>\n",
       "      <td>0.78</td>\n",
       "      <td>0.98</td>\n",
       "      <td>-2.35</td>\n",
       "      <td>0.02</td>\n",
       "      <td>5.73</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>平均月消费</th>\n",
       "      <td>0.06</td>\n",
       "      <td>1.06</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.05</td>\n",
       "      <td>0.06</td>\n",
       "      <td>1.06</td>\n",
       "      <td>1.06</td>\n",
       "      <td>29.81</td>\n",
       "      <td>&lt;0.005</td>\n",
       "      <td>646.17</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>总消费</th>\n",
       "      <td>-0.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>-0.00</td>\n",
       "      <td>-0.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>-40.67</td>\n",
       "      <td>&lt;0.005</td>\n",
       "      <td>inf</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>会员卡类型_年卡</th>\n",
       "      <td>2.81</td>\n",
       "      <td>16.61</td>\n",
       "      <td>0.18</td>\n",
       "      <td>2.45</td>\n",
       "      <td>3.17</td>\n",
       "      <td>11.64</td>\n",
       "      <td>23.71</td>\n",
       "      <td>15.47</td>\n",
       "      <td>&lt;0.005</td>\n",
       "      <td>176.99</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>会员卡类型_月卡</th>\n",
       "      <td>4.40</td>\n",
       "      <td>81.36</td>\n",
       "      <td>0.19</td>\n",
       "      <td>4.03</td>\n",
       "      <td>4.77</td>\n",
       "      <td>56.15</td>\n",
       "      <td>117.90</td>\n",
       "      <td>23.25</td>\n",
       "      <td>&lt;0.005</td>\n",
       "      <td>394.67</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>会费支付方式_微信自动扣款</th>\n",
       "      <td>-0.40</td>\n",
       "      <td>0.67</td>\n",
       "      <td>0.07</td>\n",
       "      <td>-0.55</td>\n",
       "      <td>-0.26</td>\n",
       "      <td>0.58</td>\n",
       "      <td>0.77</td>\n",
       "      <td>-5.56</td>\n",
       "      <td>&lt;0.005</td>\n",
       "      <td>25.14</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>会费支付方式_手工转账</th>\n",
       "      <td>0.07</td>\n",
       "      <td>1.08</td>\n",
       "      <td>0.07</td>\n",
       "      <td>-0.06</td>\n",
       "      <td>0.21</td>\n",
       "      <td>0.94</td>\n",
       "      <td>1.23</td>\n",
       "      <td>1.07</td>\n",
       "      <td>0.29</td>\n",
       "      <td>1.81</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>会费支付方式_花呗付款</th>\n",
       "      <td>-0.39</td>\n",
       "      <td>0.68</td>\n",
       "      <td>0.08</td>\n",
       "      <td>-0.54</td>\n",
       "      <td>-0.24</td>\n",
       "      <td>0.58</td>\n",
       "      <td>0.78</td>\n",
       "      <td>-5.17</td>\n",
       "      <td>&lt;0.005</td>\n",
       "      <td>22.01</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table><br><div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Concordance</th>\n",
       "      <td>0.93</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Partial AIC</th>\n",
       "      <td>25464.94</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>log-likelihood ratio test</th>\n",
       "      <td>5875.14 on 17 df</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>-log2(p) of ll-ratio test</th>\n",
       "      <td>inf</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/latex": [
       "\\begin{tabular}{lrrrrrrrrrr}\n",
       "\\toprule\n",
       "{} &  coef &  exp(coef) &  se(coef) &  coef lower 95\\% &  coef upper 95\\% &  exp(coef) lower 95\\% &  exp(coef) upper 95\\% &      z &    p &  -log2(p) \\\\\n",
       "covariate     &       &            &           &                 &                 &                      &                      &        &      &           \\\\\n",
       "\\midrule\n",
       "用户码           & -0.00 &       1.00 &      0.00 &           -0.00 &            0.00 &                 1.00 &                 1.00 &  -1.58 & 0.11 &      3.13 \\\\\n",
       "性别            & -0.03 &       0.97 &      0.05 &           -0.12 &            0.06 &                 0.89 &                 1.06 &  -0.66 & 0.51 &      0.98 \\\\\n",
       "家庭套餐优惠        & -0.20 &       0.82 &      0.05 &           -0.31 &           -0.09 &                 0.74 &                 0.91 &  -3.63 & 0.00 &     11.79 \\\\\n",
       "儿童餐优惠         & -0.15 &       0.86 &      0.07 &           -0.28 &           -0.02 &                 0.75 &                 0.99 &  -2.18 & 0.03 &      5.09 \\\\\n",
       "特色菜套餐         & -0.31 &       0.73 &      0.07 &           -0.44 &           -0.19 &                 0.64 &                 0.83 &  -4.78 & 0.00 &     19.11 \\\\\n",
       "酒水套餐          & -0.21 &       0.81 &      0.05 &           -0.31 &           -0.10 &                 0.73 &                 0.90 &  -3.81 & 0.00 &     12.80 \\\\\n",
       "饮料套餐          & -0.08 &       0.92 &      0.05 &           -0.19 &            0.03 &                 0.83 &                 1.03 &  -1.45 & 0.15 &      2.75 \\\\\n",
       "甜品套餐          & -0.21 &       0.81 &      0.06 &           -0.34 &           -0.08 &                 0.71 &                 0.92 &  -3.27 & 0.00 &      9.86 \\\\\n",
       "生日套餐A         & -0.13 &       0.87 &      0.06 &           -0.25 &           -0.02 &                 0.78 &                 0.98 &  -2.33 & 0.02 &      5.68 \\\\\n",
       "生日套餐B         & -0.13 &       0.87 &      0.06 &           -0.25 &           -0.02 &                 0.78 &                 0.98 &  -2.35 & 0.02 &      5.73 \\\\\n",
       "平均月消费         &  0.06 &       1.06 &      0.00 &            0.05 &            0.06 &                 1.06 &                 1.06 &  29.81 & 0.00 &    646.17 \\\\\n",
       "总消费           & -0.00 &       1.00 &      0.00 &           -0.00 &           -0.00 &                 1.00 &                 1.00 & -40.67 & 0.00 &       inf \\\\\n",
       "会员卡类型\\_年卡      &  2.81 &      16.61 &      0.18 &            2.45 &            3.17 &                11.64 &                23.71 &  15.47 & 0.00 &    176.99 \\\\\n",
       "会员卡类型\\_月卡      &  4.40 &      81.36 &      0.19 &            4.03 &            4.77 &                56.15 &               117.90 &  23.25 & 0.00 &    394.67 \\\\\n",
       "会费支付方式\\_微信自动扣款 & -0.40 &       0.67 &      0.07 &           -0.55 &           -0.26 &                 0.58 &                 0.77 &  -5.56 & 0.00 &     25.14 \\\\\n",
       "会费支付方式\\_手工转账   &  0.07 &       1.08 &      0.07 &           -0.06 &            0.21 &                 0.94 &                 1.23 &   1.07 & 0.29 &      1.81 \\\\\n",
       "会费支付方式\\_花呗付款   & -0.39 &       0.68 &      0.08 &           -0.54 &           -0.24 &                 0.58 &                 0.78 &  -5.17 & 0.00 &     22.01 \\\\\n",
       "\\bottomrule\n",
       "\\end{tabular}\n"
      ],
      "text/plain": [
       "<lifelines.CoxPHFitter: fitted with 7043 total observations, 5174 right-censored observations>\n",
       "             duration col = '入会月数'\n",
       "                event col = '已停付会费'\n",
       "      baseline estimation = breslow\n",
       "   number of observations = 7043\n",
       "number of events observed = 1869\n",
       "   partial log-likelihood = -12715.47\n",
       "         time fit was run = 2022-01-31 09:14:55 UTC\n",
       "\n",
       "---\n",
       "                coef  exp(coef)   se(coef)   coef lower 95%   coef upper 95%  exp(coef) lower 95%  exp(coef) upper 95%\n",
       "covariate                                                                                                             \n",
       "用户码            -0.00       1.00       0.00            -0.00             0.00                 1.00                 1.00\n",
       "性别             -0.03       0.97       0.05            -0.12             0.06                 0.89                 1.06\n",
       "家庭套餐优惠         -0.20       0.82       0.05            -0.31            -0.09                 0.74                 0.91\n",
       "儿童餐优惠          -0.15       0.86       0.07            -0.28            -0.02                 0.75                 0.99\n",
       "特色菜套餐          -0.31       0.73       0.07            -0.44            -0.19                 0.64                 0.83\n",
       "酒水套餐           -0.21       0.81       0.05            -0.31            -0.10                 0.73                 0.90\n",
       "饮料套餐           -0.08       0.92       0.05            -0.19             0.03                 0.83                 1.03\n",
       "甜品套餐           -0.21       0.81       0.06            -0.34            -0.08                 0.71                 0.92\n",
       "生日套餐A          -0.13       0.87       0.06            -0.25            -0.02                 0.78                 0.98\n",
       "生日套餐B          -0.13       0.87       0.06            -0.25            -0.02                 0.78                 0.98\n",
       "平均月消费           0.06       1.06       0.00             0.05             0.06                 1.06                 1.06\n",
       "总消费            -0.00       1.00       0.00            -0.00            -0.00                 1.00                 1.00\n",
       "会员卡类型_年卡        2.81      16.61       0.18             2.45             3.17                11.64                23.71\n",
       "会员卡类型_月卡        4.40      81.36       0.19             4.03             4.77                56.15               117.90\n",
       "会费支付方式_微信自动扣款  -0.40       0.67       0.07            -0.55            -0.26                 0.58                 0.77\n",
       "会费支付方式_手工转账     0.07       1.08       0.07            -0.06             0.21                 0.94                 1.23\n",
       "会费支付方式_花呗付款    -0.39       0.68       0.08            -0.54            -0.24                 0.58                 0.78\n",
       "\n",
       "                   z      p   -log2(p)\n",
       "covariate                             \n",
       "用户码            -1.58   0.11       3.13\n",
       "性别             -0.66   0.51       0.98\n",
       "家庭套餐优惠         -3.63 <0.005      11.79\n",
       "儿童餐优惠          -2.18   0.03       5.09\n",
       "特色菜套餐          -4.78 <0.005      19.11\n",
       "酒水套餐           -3.81 <0.005      12.80\n",
       "饮料套餐           -1.45   0.15       2.75\n",
       "甜品套餐           -3.27 <0.005       9.86\n",
       "生日套餐A          -2.33   0.02       5.68\n",
       "生日套餐B          -2.35   0.02       5.73\n",
       "平均月消费          29.81 <0.005     646.17\n",
       "总消费           -40.67 <0.005        inf\n",
       "会员卡类型_年卡       15.47 <0.005     176.99\n",
       "会员卡类型_月卡       23.25 <0.005     394.67\n",
       "会费支付方式_微信自动扣款  -5.56 <0.005      25.14\n",
       "会费支付方式_手工转账     1.07   0.29       1.81\n",
       "会费支付方式_花呗付款    -5.17 <0.005      22.01\n",
       "---\n",
       "Concordance = 0.93\n",
       "Partial AIC = 25464.94\n",
       "log-likelihood ratio test = 5875.14 on 17 df\n",
       "-log2(p) of ll-ratio test = inf"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "cph = lifelines.CoxPHFitter() # 创建CoxPH 模型\n",
    "cph.fit(df_member, duration_col='入会月数', event_col='已停付会费', show_progress=False) # 拟合模型\n",
    "cph.print_summary() # 输出结果"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "7e080e05",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x504 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig_coef, ax_coef = plt.subplots(figsize=(12,7)) # 创建图像和坐标系\n",
    "ax_coef.set_title('相关系数和置信区间') # 图题\n",
    "cph.plot(ax=ax_coef); # 绘图"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "cee6bf10",
   "metadata": {},
   "outputs": [],
   "source": [
    "X = df_member.drop(['用户码','已停付会费'], axis = 1) # 构建特征集\n",
    "y = df_member. 已停付会费.values # 构建标签集"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "0752bfce",
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.model_selection import train_test_split # 导入train_test_split 模块\n",
    "X_train, X_test, y_train, y_test = train_test_split(X,y,test_size = 0.2) # 拆分数据集"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "71746e9e",
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.linear_model import LogisticRegression # 导入逻辑回归模型\n",
    "logreg = LogisticRegression() # 创建逻辑回归模型"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "222e6df9",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "SK-learn 逻辑回归测试准确率为81.33%\n"
     ]
    }
   ],
   "source": [
    "logreg.fit(X_train,y_train) # 拟合模型\n",
    "print(\"SK-learn 逻辑回归测试准确率为{:.2f}%\".format(logreg.score(X_test,y_test)*100)) # 模型分数"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "d4f61983",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      " 测试集中第一个用户的预测结果为 0\n"
     ]
    }
   ],
   "source": [
    "y_pred = logreg.predict(X_test) # 对测试集进行预测\n",
    "print(\" 测试集中第一个用户的预测结果为\", y_pred[0]) # 第一个用户的预测结果"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "cafb3a0a",
   "metadata": {},
   "source": [
    "上面的建议只是抛砖引玉，针对赵总如何进一步行动，还可以有以下思路。\n",
    "\n",
    "第一，进一步完善全面的用户价值体系（参见第二话RFM细分）和留存模型。\n",
    "\n",
    "第二，建立灵活的运营流程、制定不同留存策略和关系维系体系。\n",
    "\n",
    "第三，确保所有增加营收的项目都以提高用户忠诚度为基础。\n",
    "\n",
    "第四，设计一个 “提前预警”的系统，确保指导运营团队能通过快速行动留住即将流失的老用户。"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.9.12"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}
